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A MULTICENTER PRAGMATIC IMPLEMENTATION STUDY OF AI-ECG-BASED CLINICAL DECISION SUPPORT SOFTWARE TO IDENTIFY LOW LVEF
Rochester, Minn.
The purpose of this stuyd is to evaluate the impact of an ECG-based artificial intelligence (AI-ECG) algorithm to detect low left ventricular ejection fraction (LVEF) on diagnosis rates of LVEF ≤ 40% in the outpatient setting, to evaluate the impacts of an AI-ECG algorithm to detect low LVEF and an associated clinical decision support software when used during routine outpatient care. The study will be conducted in 2 phases: feasibility assessment phase and clinical impact phase.
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